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Probability, Statistics, and Data Science

Probability, Statistics, and Data Science is a broad field in developing novel probabilistic models, designing statistical methodologies, and applying cutting-edge data science techniques to solve real-world problems.  The research group in MSCS has particular interests in Probability Theory and Stochastic Analysis, Functional Data Analysis, Non- and Semi-Parametric Methods, Bioinformatics, High Dimensional Statistical Inference, Optimal Designs, Machine Learning, and Big Data Analysis.

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Apr 17 2024

Statistics and Data Science Seminar: Subsampling for Big Data Regression with Measurement Constraints, by Lin Wang

Wednesday, 4:00 pm–4:50 pm
636 SEO
Apr 24 2024

Statistics and Data Science Seminar: TBA, by Hong Li

Wednesday, 4:00 pm–4:50 pm
636 SEO